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      <title>消息过滤的实现方式 - 交互式测验</title>
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    </head>
    <body>
      <div class="main-wrapper">
          <div class="quiz-container">
            <div class="quiz-header">
              <h1>消息过滤的实现方式 - 交互式测验</h1>
              <p>检验你对文档内容的理解程度</p>
            </div>
            <div id="quiz-content">
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                    <div class="progress-bar">
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                      <p id="question-text"></p>
                      <ul class="options-list" id="options-list"></ul>
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                    <div id="hint-container" class="hint-container"></div>
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      <script>
        const quizData = [
  {
    "question": "根据文档，RocketMQ中的Tag最准确的描述是什么？",
    "options": [
      "它是附加在Topic之上的二级分类，用于消息子集的过滤。",
      "它是一种可以对消息体内容进行全文检索的复杂脚本。",
      "一条消息可以设置多个Tag，以满足复杂的多维度分类需求。",
      "它是Topic的别名，主要用于简化订阅操作。"
    ],
    "correctAnswerIndex": 0,
    "explanation": "文档明确指出，Tag是RocketMQ提供的一种轻量级消息过滤机制，它是附加在Topic之上的二级分类，允许消费者在订阅Topic时只接收感兴趣的消息子集。文档也提到一条消息只能有一个Tag。",
    "source": "文档中「基于Tag的消息过滤机制」->「Tag过滤的基本概念」和「Tag过滤的优缺点」部分",
    "hint": "文档开头就定义了Tag，称其为一种轻量级的机制和“二级分类”。"
  },
  {
    "question": "在RocketMQ中启用SQL过滤功能，需要在Broker端进行什么关键配置？",
    "options": [
      "无需任何配置，该功能默认开启。",
      "设置 enablePropertyFilter=true。",
      "增加过滤线程池的大小。",
      "设置 filterType=SQL。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "文档明确指出，要使用SQL过滤功能，必须在Broker的配置文件（如broker.conf）中进行设置，将`enablePropertyFilter`参数设置为`true`来开启该功能。",
    "source": "文档中「基于SQL表达式的过滤方法」->「SQL过滤的实现原理」->「功能启用」部分",
    "hint": "考虑一下，这种高级功能是否需要一个开关来启用？文档在“功能启用”部分提到了一个具体的配置项。"
  },
  {
    "question": "对比Tag过滤和SQL过滤，哪项关于SQL过滤的描述是正确的？",
    "options": [
      "SQL过滤的Broker负载和性能开销通常低于Tag过滤。",
      "SQL过滤支持基于消息体（body）内容进行条件判断。",
      "SQL过滤会显著增加Broker的负载和CPU使用率。",
      "SQL过滤的实现复杂度比Tag过滤更简单。"
    ],
    "correctAnswerIndex": 2,
    "explanation": "根据文档中的性能对比分析表和优缺点描述，SQL过滤因为需要解析和执行表达式，会增加Broker的负担，导致更高的Broker负载和CPU使用率，性能开销也较大。同时，文档限制条件中明确指出SQL过滤不支持消息体内容过滤。",
    "source": "文档中「不同过滤方式的性能和适用场景」->「性能对比分析」和「SQL过滤的优缺点」部分",
    "hint": "回想一下性能对比表格中关于'Broker负载'和'CPU使用率'的比较。"
  },
  {
    "question": "一个消费者希望订阅一个Topic下所有“价格(price)大于100”并且“类型(type)为'URGENT'”的消息。这种场景最适合使用哪种过滤方式？",
    "options": [
      "Tag过滤，为每一种价格和类型的组合创建一个Tag。",
      "SQL过滤，使用类似`price > 100 AND type = 'URGENT'`的表达式。",
      "自定义过滤器，在Consumer端编写Java代码实现过滤逻辑。",
      "Consumer端过滤，订阅所有消息后再进行判断。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "这种基于多个消息属性（价格、类型）进行组合条件判断的复杂过滤场景，正是SQL过滤的优势所在。Tag过滤无法处理多维度的数值比较，而Consumer端过滤虽然能实现，但会造成不必要的网络传输，SQL过滤能在Broker端完成，效率更高。",
    "source": "文档中「不同过滤方式的性能和适用场景」->「不同场景下的选择指南」->「SQL过滤适用场景」部分",
    "hint": "思考一下哪种过滤方式明确支持“复杂的过滤条件”和“多维度消息属性过滤”。"
  },
  {
    "question": "关于Tag过滤的实现原理，以下哪个说法是正确的？",
    "options": [
      "Broker在过滤时需要从CommitLog中完整读取每条消息来获取Tag。",
      "Broker主要利用存储在ConsumeQueue索引条目中的tagsCode（Tag的哈希值）来进行高效过滤。",
      "所有带有Tag的消息都会被存储在一个特殊的、按Tag分类的队列中。",
      "Tag过滤完全在Consumer端执行，Broker不参与过滤过程。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "文档在描述Tag的设计原理时提到，为了提高效率，Broker在构建消费队列（ConsumeQueue）时，会将消息Tag的哈希值存入索引条目的`tagsCode`字段。过滤时，Broker只需扫描ConsumeQueue并比对`tagsCode`，而无需读取CommitLog中的完整消息，从而实现了高效过滤。",
    "source": "文档中「基于Tag的消息过滤机制」->「Tag的设计原理」->「消息存储」和「过滤实现」部分",
    "hint": "为了实现高效过滤，Broker是如何避免读取完整的消息体(CommitLog)的？它利用了哪个索引结构？"
  },
  {
    "question": "在什么情况下，即使有Broker端过滤，也必须在Consumer端进行二次过滤或完全依赖Consumer端过滤？",
    "options": [
      "当使用`consumer.subscribe(\"TopicTest\", \"*\")`订阅时。",
      "当需要根据消息体（body）的内容进行过滤时。",
      "当使用单个Tag进行订阅时，例如 `consumer.subscribe(\"TopicTest\", \"TagA\")`。",
      "当Broker的 `enablePropertyFilter` 设置为 `false` 时。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "文档明确指出，Tag过滤和SQL过滤都只能基于消息的属性（包括Tag本身）进行过滤，不支持对消息体内容的过滤。因此，如果业务逻辑需要检查消息体中的具体数据来决定是否处理该消息，就必须将消息拉取到Consumer端，由Consumer自行实现过滤逻辑。",
    "source": "文档中「不同过滤方式的性能和适用场景」->「不同场景下的选择指南」->「Consumer端过滤适用场景」部分",
    "hint": "Tag过滤和SQL过滤有一个共同的局限性，它们都不能“看到”消息的哪个部分？"
  },
  {
    "question": "根据文档中的“最佳实践”，以下哪项是针对Tag过滤的优化建议？",
    "options": [
      "尽可能地增加Tag的数量，以实现最细粒度的分类。",
      "将业务逻辑强相关的消息分散到不同的Topic中。",
      "在多Tag订阅时（如'TagA || TagB'），应将更高频被消费的Tag放在表达式前面。",
      "为了性能，应避免使用`*`来订阅所有消息。"
    ],
    "correctAnswerIndex": 2,
    "explanation": "文档在“Tag过滤优化”的“订阅表达式优化”部分明确建议：“多Tag订阅时，将高频Tag放在表达式前面”。这样做可以帮助Broker更快地匹配到消息，优化过滤效率。同时，文档建议避免Tag数量过多，并推荐将相关消息使用同一Topic不同Tag。",
    "source": "文档中「最佳实践与优化建议」->「Tag过滤优化」->「订阅表达式优化」部分",
    "hint": "在优化订阅表达式时，文档提到了关于多个Tag订阅时顺序的建议。"
  }
];
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        let score = 0;
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                // 高亮正确答案
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            document.getElementById('quiz-footer').style.display = 'none';

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            const totalQuestions = quizData.length;
            const answeredCount = userAnswers.filter(a => a !== null).length;
            const wrongCount = answeredCount - correctCount;
            const skippedCount = totalQuestions - answeredCount;
            const accuracy = totalQuestions > 0 ? Math.round((correctCount / totalQuestions) * 100) : 0;
            const errorRate = totalQuestions > 0 ? Math.round((wrongCount / totalQuestions) * 100) : 0;

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                '<h2>答题报告</h2>' +
                '<div class="score-summary">' +
                '<div class="score-card">' +
                '<h3>得分</h3>' +
                '<p>' + correctCount + ' / ' + totalQuestions + '</p>' +
                '</div>' +
                '<div class="score-card">' +
                '<h3>正确率</h3>' +
                '<p>' + accuracy + '%</p>' +
                '</div>' +
                '<div class="score-card">' +
                '<h3>错误率</h3>' +
                '<p>' + errorRate + '%</p>' +
                '</div>' +
                '<div class="score-card score-details">' +
                '<table>' +
                '<tr><td>正确</td><td>' + correctCount + '</td></tr>' +
                '<tr><td>错误</td><td>' + wrongCount + '</td></tr>' +
                '<tr><td>未答</td><td>' + skippedCount + '</td></tr>' +
                '</table>' +
                '</div>' +
                '</div>' +
                '<div class="report-actions">' +
                '<button id="review-btn">回顾测验</button>' +
                '<button class="primary" onclick="location.reload()">再试一次</button>' +
                '</div>' +
                '</div>';

            let reportEl = document.querySelector('.final-score-container');
            if (reportEl) {
                reportEl.remove();
            }
            quizContentEl.insertAdjacentHTML('beforeend', finalScoreHtml);
            document.getElementById('review-btn').addEventListener('click', reviewQuiz);
        }

        function reviewQuiz() {
            const reportEl = document.querySelector('.final-score-container');
            if (reportEl) {
                reportEl.remove();
            }

            document.querySelector('.quiz-body').style.display = 'block';
            document.getElementById('quiz-footer').style.display = 'flex';
            
            currentQuestionIndex = 0;
            loadQuestion();
            updateNavigationButtons(); // Ensure nav buttons are correctly displayed
        }

        // Event Delegation for options
        optionsListEl.addEventListener('click', (event) => {
            if (event.target && event.target.matches('li.option-item')) {
                // Check if the question has already been answered
                if (userAnswers[currentQuestionIndex] === null) {
                    const selectedIndex = parseInt(event.target.dataset.index, 10);
                    selectOption(selectedIndex);
                }
            }
        });

        prevBtn.addEventListener('click', goToPreviousQuestion);
        nextBtn.addEventListener('click', goToNextQuestion);
        hintBtn.addEventListener('click', showHint);
        
        // 初始加载
        loadQuestion();
      </script>
    </body>
    </html>
  